How much does corporate AI training cost in Hong Kong?
Engagements are scoped and priced per business rather than sold from a rate card, because a half-day for four people and a multi-month programme for thirty are not the same product. The scope call establishes which workflows are actually costing your team hours, and the quote follows from that. The first conversation is free and carries no obligation.
Can you run the training on-site, or does it have to be online?
Both. On-site with your team in Hong Kong is the default and usually the better session — people build faster in a room together. Live online works well for teams split across offices or time zones, and for firms outside Hong Kong entirely. Sessions are the same either way: your own material, worked on live.
How many people can be in a session?
Two to ten, for hands-on training. Above ten, it stops being training on your workflows and starts being a lecture — which is a different and less useful product. Larger firms are usually better served by running several small cohorts than by one big room. The one deliberate exception is the AI lunch and learn — a talk-and-demo format built for the big room.
Do you run AI lunch and learns?
Yes. A lunch and learn is a one-hour talk-and-demo over lunch — live demonstrations of Claude, ChatGPT and Copilot on workflows your industry will recognise — and because nobody's hands are on a keyboard, the whole floor can sit in. It's the natural first step for a larger firm: the wider team sees what's possible over lunch, then a smaller group goes hands-on in a half-day workshop or a full programme.
Do you run one-off AI workshops in Hong Kong?
Yes. The half-day AI workshop is the shortest hands-on format: one focused session for two to ten people, run on your own documents, and the team leaves with one or two automations already built. It runs on-site in Hong Kong or live online. If the whole floor needs to see what is possible first, the one-hour lunch and learn is the talk-and-demo alternative, and the workshop is the natural next step from it.
What if our documents are confidential?
Most sessions run on live material, but they do not have to. Where confidentiality requires it, sessions run on sample or redacted documents that mirror the structure of the real ones — the workflow your team learns is identical. Where the material can be used directly, an NDA is signed before anything is shared.
Which AI tools do you teach?
Whichever ones your firm actually permits. In practice that usually means Claude, ChatGPT and Microsoft Copilot, plus whatever is already inside your stack. The training is built around what your IT and compliance functions have approved — there is no point teaching a tool your team cannot open on Monday.
How is this different from a public course or a university programme?
A public course teaches generic exercises to strangers from a dozen industries; a university programme teaches frameworks and case studies to a cohort. Both are reasonable for one generic day on the fundamentals. This works on your own decks, spreadsheets and client documents, with only your team in the room, and your people leave holding automations they built themselves. The comparison table above sets out the differences line by line.
Is corporate AI training covered by the Technology Voucher Programme?
Sometimes, and it depends on the shape of the project. TVP funds technology consultancy only where it is integral to a technology-adoption project, so training bundled into an adoption project may qualify where standalone training does not. TVP also excludes listed companies. Check eligibility with the Innovation and Technology Fund directly rather than relying on this page — the rules change and the answer is specific to your firm.
What happens after the last session?
Your team keeps everything built during the sessions — the prompt library, the workflows, the automations. For firms that want the capability to keep compounding as new tools arrive, an ongoing advisory arrangement is the standing version of that. It is optional, and nobody is signed into it by default.